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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
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language:
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<a href="https://github.com/TensorBlock/
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display: inline-block;
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padding: 8px 16px;
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background-color: #FF7F50;
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color: white;
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text-decoration: none;
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border-radius: 6px;
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font-weight: bold;
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font-family: sans-serif;
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">👀 See what we built 👀</a>
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```shell
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```
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---
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-3B-Instruct
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tags:
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- chat
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- TensorBlock
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- GGUF
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library_name: transformers
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
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Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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</p>
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</div>
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</div>
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## Qwen/Qwen2.5-3B-Instruct - GGUF
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This repo contains GGUF format model files for [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct).
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit ec7f3ac](https://github.com/ggerganov/llama.cpp/commit/ec7f3ac9ab33e46b136eb5ab6a76c4d81f57c7f1).
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## Our projects
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<table border="1" cellspacing="0" cellpadding="10">
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<tr>
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<th style="font-size: 25px;">Awesome MCP Servers</th>
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<th style="font-size: 25px;">TensorBlock Studio</th>
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</tr>
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<tr>
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<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
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<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
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</tr>
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<tr>
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
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</tr>
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<tr>
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<th>
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<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
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display: inline-block;
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padding: 8px 16px;
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background-color: #FF7F50;
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color: white;
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text-decoration: none;
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border-radius: 6px;
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font-weight: bold;
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font-family: sans-serif;
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">👀 See what we built 👀</a>
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</th>
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<th>
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<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
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display: inline-block;
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padding: 8px 16px;
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background-color: #FF7F50;
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color: white;
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text-decoration: none;
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border-radius: 6px;
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font-weight: bold;
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font-family: sans-serif;
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">👀 See what we built 👀</a>
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</th>
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</tr>
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</table>
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## Prompt template
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```
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<|im_start|>system
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{system_prompt}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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## Model file specification
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [Qwen2.5-3B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q2_K.gguf) | Q2_K | 1.275 GB | smallest, significant quality loss - not recommended for most purposes |
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| [Qwen2.5-3B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_S.gguf) | Q3_K_S | 1.454 GB | very small, high quality loss |
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| [Qwen2.5-3B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_M.gguf) | Q3_K_M | 1.590 GB | very small, high quality loss |
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| [Qwen2.5-3B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q3_K_L.gguf) | Q3_K_L | 1.707 GB | small, substantial quality loss |
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| [Qwen2.5-3B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q4_0.gguf) | Q4_0 | 1.823 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Qwen2.5-3B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q4_K_S.gguf) | Q4_K_S | 1.834 GB | small, greater quality loss |
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| [Qwen2.5-3B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q4_K_M.gguf) | Q4_K_M | 1.930 GB | medium, balanced quality - recommended |
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| [Qwen2.5-3B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q5_0.gguf) | Q5_0 | 2.170 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Qwen2.5-3B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q5_K_S.gguf) | Q5_K_S | 2.170 GB | large, low quality loss - recommended |
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| [Qwen2.5-3B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q5_K_M.gguf) | Q5_K_M | 2.225 GB | large, very low quality loss - recommended |
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| [Qwen2.5-3B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q6_K.gguf) | Q6_K | 2.538 GB | very large, extremely low quality loss |
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| [Qwen2.5-3B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-3B-Instruct-GGUF/blob/main/Qwen2.5-3B-Instruct-Q8_0.gguf) | Q8_0 | 3.285 GB | very large, extremely low quality loss - not recommended |
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## Downloading instruction
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### Command line
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Firstly, install Huggingface Client
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```shell
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pip install -U "huggingface_hub[cli]"
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```
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Then, downoad the individual model file the a local directory
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```shell
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huggingface-cli download tensorblock/Qwen2.5-3B-Instruct-GGUF --include "Qwen2.5-3B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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```
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If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
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```shell
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huggingface-cli download tensorblock/Qwen2.5-3B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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```
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